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Modelling Canopy Stomatal Conductance of Hedysarum scoparium and Long-Term Prediction in Semiarid Region in China


Affiliations
1 Forestry College, Shenyang Agricultural University, Shenyang, Liaoning 110866, China
2 Key Laboratory of Soil and Water Conservation and Desertification Combating, Ministry of Education, Beijing, 100083, China
3 Tokyo University of Agriculture, Tokyo, 156-8502, Japan
 

Hedysarum scoparium (H. scoparium) is a fast-growing and drought-resistant shrub species that has been extensively used for grassland restoration and agricultural landscapes protection such as farmland protection and wind shelterbelts in semiarid regions of Northwestern China. To date knowledge about the water consumption characteristics and physiological response to environmental factors of H. scoparium is quite limited. Thus, the primary objective of this study was to create a Jarvis-type model of canopy stomatal conductance (gs) in H. scoparium shrubs and use the model to predict long-term trend variations. During the research, the sap flow rate (JS) of four shrubs with diameters of 29, 21, 15, and 11 mm was monitored under natural conditions. Meteorological factors were obtained at a flux tower on site. Results indicate that the meteorological variables are significantly correlated with gs, which increases exponentially with the increase in vapour pressure deficit (VPD) after controlling for the additional effects of air temperature (Ta) and solar radiation (Rn). The Jarvis model was set up to express the variation observed in gs, and the sequence affecting the accuracy of the model is Rn > VPD > Ta. This study attempts to probe gs of H. scoparium by using JS and applying Jarvis-type model, the proposed Jarvis-type model offers a solution to the abovespecified problems, which also solves the time lag issue in gs prediction. The conclusions obtained in the study can provide the intentionality reference and conservation management guidance for environment protection and desertification combating.

Keywords

Hedysarum scoparium, Canopy Stomatal Conductance, Jarvis Model, Meteorological Variables.
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  • Modelling Canopy Stomatal Conductance of Hedysarum scoparium and Long-Term Prediction in Semiarid Region in China

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Authors

Jinghao Li
Forestry College, Shenyang Agricultural University, Shenyang, Liaoning 110866, China
Jifeng Deng
Forestry College, Shenyang Agricultural University, Shenyang, Liaoning 110866, China
Yongbin Zhou
Forestry College, Shenyang Agricultural University, Shenyang, Liaoning 110866, China
Guodong Ding
Key Laboratory of Soil and Water Conservation and Desertification Combating, Ministry of Education, Beijing, 100083, China
Ruohan Zhang
Tokyo University of Agriculture, Tokyo, 156-8502, Japan

Abstract


Hedysarum scoparium (H. scoparium) is a fast-growing and drought-resistant shrub species that has been extensively used for grassland restoration and agricultural landscapes protection such as farmland protection and wind shelterbelts in semiarid regions of Northwestern China. To date knowledge about the water consumption characteristics and physiological response to environmental factors of H. scoparium is quite limited. Thus, the primary objective of this study was to create a Jarvis-type model of canopy stomatal conductance (gs) in H. scoparium shrubs and use the model to predict long-term trend variations. During the research, the sap flow rate (JS) of four shrubs with diameters of 29, 21, 15, and 11 mm was monitored under natural conditions. Meteorological factors were obtained at a flux tower on site. Results indicate that the meteorological variables are significantly correlated with gs, which increases exponentially with the increase in vapour pressure deficit (VPD) after controlling for the additional effects of air temperature (Ta) and solar radiation (Rn). The Jarvis model was set up to express the variation observed in gs, and the sequence affecting the accuracy of the model is Rn > VPD > Ta. This study attempts to probe gs of H. scoparium by using JS and applying Jarvis-type model, the proposed Jarvis-type model offers a solution to the abovespecified problems, which also solves the time lag issue in gs prediction. The conclusions obtained in the study can provide the intentionality reference and conservation management guidance for environment protection and desertification combating.

Keywords


Hedysarum scoparium, Canopy Stomatal Conductance, Jarvis Model, Meteorological Variables.

References